{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         DATE  VALUE\n",
      "0  1948-01-01    3.4\n",
      "1  1948-02-01    3.8\n",
      "2  1948-03-01    4.0\n",
      "3  1948-04-01    3.9\n",
      "4  1948-05-01    3.5\n",
      "5  1948-06-01    3.6\n",
      "6  1948-07-01    3.6\n",
      "7  1948-08-01    3.9\n",
      "8  1948-09-01    3.8\n",
      "9  1948-10-01    3.7\n",
      "10 1948-11-01    3.8\n",
      "11 1948-12-01    4.0\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "unrate = pd.read_csv('unrate.csv')\n",
    "unrate['DATE'] = pd.to_datetime(unrate['DATE'])\n",
    "print(unrate.head(12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OdxnY6tbzXQrrNscx9pZAsuBrBvxC32f08Wj/54+2nvNurtMZwJ10Z3xuBn56\n5Ln3A381q/55dL+1PUgX1n5tjmP+Ml3YexD4DN1v/M3nupjXDbhjju+tbcBvt57rYl2zOY6/1wWS\nodaN75z5faCvOZv+M/N25uGH60mSpOYW7R4SSZL0xGEgkSRJzRlIJElScwYSSZLUnIFEkiQ1ZyCR\nJEnNGUgkSVJzBhJJktScgUSSJDVnIJEkSc0ZSCRJUnP/Hww/6iVtYgz2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x79b2cf0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "#%matplotlib inline\n",
    "#Using the different pyplot functions, we can create, customize, and display a plot. For example, we can use 2 functions to :\n",
    "plt.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lJCXKZv23WkjilUp5M/zUqXFHIkmQycB++3lhZ63r0QNuuw1WWcW/hBcsiDui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\ngiAIgiCoOv8B9Z3dBOIXhKsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x79683f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "first_twelve = unrate[0:12]\n",
    "plt.plot(first_twelve['DATE'], first_twelve['VALUE'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0Uuxo4nj9dd9PpdSpoqS0fSnpaAXVc6RHPq+kQ5pXKPgicvvvHzuSdDGDG26A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\nUE+nhrsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x69ee890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#While the y-axis looks fine, the x-axis tick labels are too close together and are unreadable\n",
    "#We can rotate the x-axis tick labels by 90 degrees so they don't overlap\n",
    "#We can specify degrees of rotation using a float or integer value.\n",
    "plt.plot(first_twelve['DATE'], first_twelve['VALUE'])\n",
    "plt.xticks(rotation=45)\n",
    "#print help(plt.xticks)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ely76JnrPPbr3k6ne66/D1VdrcnbeeUFHE4xsRjj+ibapzgLaAs+I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\nO5iWhlhX2AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x788c0b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#xlabel(): accepts a string value, which gets set as the x-axis label.\n",
    "#ylabel(): accepts a string value, which is set as the y-axis label.\n",
    "#title(): accepts a string value, which is set as the plot title.\n",
    "\n",
    "plt.plot(first_twelve['DATE'], first_twelve['VALUE'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Unemployment Rate')\n",
    "plt.title('Monthly Unemployment Trends, 1948')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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